Zobrazeno 1 - 10
of 398
pro vyhledávání: '"THOMAS SPENCER"'
Autor:
Krishnadas, Padmini, Thomas, Spencer Angus, Goldring, Jessica, Smith, Nadia A. S., Hussein, Mohammad
Dosimetry audits are carried out to determine how well radiotherapy is delivered to the patient. It is also used to understand the uncertainty introduced into the measurement result when using different computational models. As measurement procedures
Externí odkaz:
http://arxiv.org/abs/2407.07714
Autor:
McCrory, Miles, Thomas, Spencer A.
Clustering algorithms are used extensively in data analysis for data exploration and discovery. Technological advancements lead to continually growth of data in terms of volume, dimensionality and complexity. This provides great opportunities in data
Externí odkaz:
http://arxiv.org/abs/2402.12008
Autor:
Guevara, Marco, Chen, Shan, Thomas, Spencer, Chaunzwa, Tafadzwa L., Franco, Idalid, Kann, Benjamin, Moningi, Shalini, Qian, Jack, Goldstein, Madeleine, Harper, Susan, Aerts, Hugo JWL, Savova, Guergana K., Mak, Raymond H., Bitterman, Danielle S.
Publikováno v:
NPJ Digit Med. 2024 Jan 11;7(1):6
Social determinants of health (SDoH) have an important impact on patient outcomes but are incompletely collected from the electronic health records (EHR). This study researched the ability of large language models to extract SDoH from free text in EH
Externí odkaz:
http://arxiv.org/abs/2308.06354
Autor:
Thomas, Spencer A.
The usage of chemical imaging technologies is becoming a routine accompaniment to traditional methods in pathology. Significant technological advances have developed these next generation techniques to provide rich, spatially resolved, multidimension
Externí odkaz:
http://arxiv.org/abs/2207.10469
Publikováno v:
In Fusion Engineering and Design February 2025 211
Self-supervised learning (SSL) has become a popular method for generating invariant representations without the need for human annotations. Nonetheless, the desired invariant representation is achieved by utilising prior online transformation functio
Externí odkaz:
http://arxiv.org/abs/2202.06914
Autor:
Thomas, Spencer A.
In this work we examine the performance enhancement in classification of medical imaging data when image features are combined with associated non-image data. We compare the performance of eight state-of-the-art deep neural networks in classification
Externí odkaz:
http://arxiv.org/abs/2111.14388
Autor:
Thomas, Spencer A.
In this work, we compare the performance of six state-of-the-art deep neural networks in classification tasks when using only image features, to when these are combined with patient metadata. We utilise transfer learning from networks pretrained on I
Externí odkaz:
http://arxiv.org/abs/2110.05239
Autor:
Thomas, Spencer A.
We analysed publicly available data on place of occurrence of COVID-19 deaths from national statistical agencies in the UK between March 9 2020 and February 28 2021. We introduce a modified Weibull model that describes the deaths due to COVID-19 at a
Externí odkaz:
http://arxiv.org/abs/2106.15381
Image clustering is a particularly challenging computer vision task, which aims to generate annotations without human supervision. Recent advances focus on the use of self-supervised learning strategies in image clustering, by first learning valuable
Externí odkaz:
http://arxiv.org/abs/2103.07368